Anomaly Detection Based on Critical Paths for Deep Neural Networks

Fangzhen Zhao, Chenyi Zhang, Naipeng Dong +2

Deep neural networks (DNNs) are notoriously hard to understand and difficult to defend. Extracting representative paths (including the neuron activation values and the connections…